Exploratory Data Analysis - Fraud Detection

Dataset statistics

Number of variables	25
Number of observations	300000
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	31.2 MiB
Average record size in memory	109.0 B

Variable types

Numeric	11
Categorical	14

Alerts

`zip` is highly correlated with `lat` and 3 other fields	High correlation
`lat` is highly correlated with `zip` and 3 other fields	High correlation
`long` is highly correlated with `zip` and 3 other fields	High correlation
`merch_lat` is highly correlated with `zip` and 3 other fields	High correlation
`merch_long` is highly correlated with `zip` and 3 other fields	High correlation
`hour` is highly correlated with `category_gas_transport` and 1 other fields	High correlation
`category_gas_transport` is highly correlated with `hour`	High correlation
`category_grocery_pos` is highly correlated with `hour`	High correlation
`amt` is highly skewed (γ1 = 56.19402201)	Skewed
`hour` has 9746 (3.2%) zeros	Zeros
`day` has 59974 (20.0%) zeros	Zeros

Reproduction

Analysis started	2022-11-09 00:00:06.786425
Analysis finished	2022-11-09 00:02:22.719329
Duration	2 minutes and 15.93 seconds
Software version	pandas-profiling v3.3.0
Download configuration	config.json

amt
Real number (ℝ_≥0)

SKEWED

Distinct	30525
Distinct (%)	10.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	70.12587797

Minimum	1
Maximum	28948.9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.3 MiB

Quantile statistics

Minimum	1
5-th percentile	2.44
Q1	9.66
median	47.44
Q3	83.14
95-th percentile	196.311
Maximum	28948.9
Range	28947.9
Interquartile range (IQR)	73.48

Descriptive statistics

Standard deviation	162.4457824
Coefficient of variation (CV)	2.316488393
Kurtosis	7709.998671
Mean	70.12587797
Median Absolute Deviation (MAD)	37.45
Skewness	56.19402201
Sum	21037763.39
Variance	26388.63222
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.14	142	< 0.1%
1.12	134	< 0.1%
1.2	133	< 0.1%
1.02	133	< 0.1%
1.22	130	< 0.1%
1.7	128	< 0.1%
1.09	127	< 0.1%
1.16	127	< 0.1%
1.1	125	< 0.1%
3.71	124	< 0.1%
Other values (30515)	298697	99.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	49	< 0.1%
1.01	112	< 0.1%
1.02	133	< 0.1%
1.03	116	< 0.1%
1.04	116	< 0.1%
1.05	117	< 0.1%
1.06	97	< 0.1%
1.07	109	< 0.1%
1.08	115	< 0.1%
1.09	127	< 0.1%

Value	Count	Frequency (%)
28948.9	1	< 0.1%
27119.77	1	< 0.1%
22768.11	1	< 0.1%
13149.15	1	< 0.1%
11422.83	1	< 0.1%
11371.95	1	< 0.1%
9197.47	1	< 0.1%
8517.38	1	< 0.1%
7886.26	1	< 0.1%
7288.5	1	< 0.1%

zip
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	963
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	48893.8212

Minimum	1257
Maximum	99921
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.3 MiB

Quantile statistics

Minimum	1257
5-th percentile	7439
Q1	26292
median	48193
Q3	72042
95-th percentile	94569
Maximum	99921
Range	98664
Interquartile range (IQR)	45750

Descriptive statistics

Standard deviation	26849.73684
Coefficient of variation (CV)	0.5491437604
Kurtosis	-1.094036271
Mean	48893.8212
Median Absolute Deviation (MAD)	23039
Skewness	0.07646239989
Sum	1.466814636 × 10¹⁰
Variance	720908368.2
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
82514	839	0.3%
73754	829	0.3%
48088	817	0.3%
34112	815	0.3%
58569	771	0.3%
21872	759	0.3%
72042	753	0.3%
49628	750	0.2%
49895	739	0.2%
38761	736	0.2%
Other values (953)	292192	97.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1257	455	0.2%
1330	251	0.1%
1535	120	< 0.1%
1545	221	0.1%
1612	113	< 0.1%
1843	629	0.2%
1844	453	0.2%
2180	133	< 0.1%
2630	452	0.2%
2908	143	< 0.1%

Value	Count	Frequency (%)
99921	1	< 0.1%
99783	364	0.1%
99747	3	< 0.1%
99746	118	< 0.1%
99323	622	0.2%
99160	714	0.2%
99116	2	< 0.1%
99113	260	0.1%
99033	583	0.2%
98836	126	< 0.1%

lat
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	975
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	38.53826613

Minimum	20.0271
Maximum	66.6933
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.3 MiB

Quantile statistics

Minimum	20.0271
5-th percentile	29.8826
Q1	34.6205
median	39.3543
Q3	41.8948
95-th percentile	45.8433
Maximum	66.6933
Range	46.6662
Interquartile range (IQR)	7.2743

Descriptive statistics

Standard deviation	5.076917293
Coefficient of variation (CV)	0.1317370448
Kurtosis	0.7906627346
Mean	38.53826613
Median Absolute Deviation (MAD)	3.3677
Skewness	-0.1848757267
Sum	11561479.84
Variance	25.7750892
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
43.0048	839	0.3%
36.385	829	0.3%
42.5164	817	0.3%
26.1184	815	0.3%
46.1838	771	0.3%
38.4121	759	0.3%
34.2853	753	0.3%
44.5995	750	0.2%
46.3535	739	0.2%
33.4783	736	0.2%
Other values (965)	292192	97.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20.0271	370	0.1%
20.0827	208	0.1%
24.6557	590	0.2%
26.1184	815	0.3%
26.3304	120	< 0.1%
26.3771	135	< 0.1%
26.4215	693	0.2%
26.4722	602	0.2%
26.529	332	0.1%
26.6939	261	0.1%

Value	Count	Frequency (%)
66.6933	3	< 0.1%
65.6899	118	< 0.1%
64.7556	364	0.1%
55.4732	1	< 0.1%
48.8878	714	0.2%
48.8856	493	0.2%
48.8328	367	0.1%
48.6669	235	0.1%
48.6031	732	0.2%
48.4786	471	0.2%

long
Real number (ℝ)

HIGH CORRELATION

Distinct	976
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-90.2547715

Minimum	-165.6723
Maximum	-67.9503
Zeros	0
Zeros (%)	0.0%
Negative	300000
Negative (%)	100.0%
Memory size	2.3 MiB

Quantile statistics

Minimum	-165.6723
5-th percentile	-119.0825
Q1	-96.798
median	-87.4769
Q3	-80.1752
95-th percentile	-73.5365
Maximum	-67.9503
Range	97.722
Interquartile range (IQR)	16.6228

Descriptive statistics

Standard deviation	13.73774947
Coefficient of variation (CV)	-0.1522107833
Kurtosis	1.838306623
Mean	-90.2547715
Median Absolute Deviation (MAD)	8.1276
Skewness	-1.145172422
Sum	-27076431.45
Variance	188.7257604
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-108.8964	839	0.3%
-98.0727	829	0.3%
-82.9832	817	0.3%
-81.7361	815	0.3%
-101.2589	771	0.3%
-75.2811	759	0.3%
-82.7243	758	0.3%
-91.3336	753	0.3%
-86.2141	750	0.2%
-86.6345	739	0.2%
Other values (966)	292170	97.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-165.6723	364	0.1%
-156.292	118	< 0.1%
-155.488	208	0.1%
-155.3697	370	0.1%
-153.994	3	< 0.1%
-133.1171	1	< 0.1%
-124.4409	222	0.1%
-124.2174	372	0.1%
-124.1587	228	0.1%
-124.1437	336	0.1%

Value	Count	Frequency (%)
-67.9503	474	0.2%
-68.5565	235	0.1%
-69.2675	107	< 0.1%
-69.4828	501	0.2%
-69.9576	122	< 0.1%
-69.9656	647	0.2%
-70.1031	4	< 0.1%
-70.239	194	0.1%
-70.239	45	< 0.1%
-70.3001	452	0.2%

city_pop
Real number (ℝ_≥0)

Distinct	873
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	88514.15292

Minimum	23
Maximum	2906700
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.3 MiB

Quantile statistics

Minimum	23
5-th percentile	139
Q1	741
median	2435
Q3	20328
95-th percentile	518429
Maximum	2906700
Range	2906677
Interquartile range (IQR)	19587

Descriptive statistics

Standard deviation	302042.5067
Coefficient of variation (CV)	3.412363975
Kurtosis	37.96721111
Mean	88514.15292
Median Absolute Deviation (MAD)	2180
Skewness	5.622829603
Sum	2.655424588 × 10¹⁰
Variance	9.122967585 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
606	1291	0.4%
1312922	1201	0.4%
1595797	1165	0.4%
1766	1026	0.3%
241	1008	0.3%
2906700	985	0.3%
1126	966	0.3%
302	956	0.3%
198	953	0.3%
276002	935	0.3%
Other values (863)	289514	96.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
23	472	0.2%
37	240	0.1%
43	470	0.2%
46	685	0.2%
47	114	< 0.1%
49	232	0.1%
51	242	0.1%
52	123	< 0.1%
53	644	0.2%
60	219	0.1%

Value	Count	Frequency (%)
2906700	985	0.3%
2504700	466	0.2%
2383912	118	< 0.1%
1595797	1165	0.4%
1577385	587	0.2%
1526206	811	0.3%
1382480	472	0.2%
1312922	1201	0.4%
1263321	847	0.3%
1241364	587	0.2%

merch_lat
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	297367
Distinct (%)	99.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	38.53994798

Minimum	19.027849
Maximum	67.397018
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.3 MiB

Quantile statistics

Minimum	19.027849
5-th percentile	29.74189105
Q1	34.7378955
median	39.368308
Q3	41.95946525
95-th percentile	46.02228925
Maximum	67.397018
Range	48.369169
Interquartile range (IQR)	7.22156975

Descriptive statistics

Standard deviation	5.111003209
Coefficient of variation (CV)	0.1326157267
Kurtosis	0.7749178973
Mean	38.53994798
Median Absolute Deviation (MAD)	3.402611
Skewness	-0.1825545615
Sum	11561984.4
Variance	26.12235381
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
39.24133	3	< 0.1%
38.556877	3	< 0.1%
38.986749	3	< 0.1%
38.716326	3	< 0.1%
40.137418	3	< 0.1%
41.930416	3	< 0.1%
38.933501	3	< 0.1%
43.327495	3	< 0.1%
43.479957	3	< 0.1%
42.890771	3	< 0.1%
Other values (297357)	299970	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
19.027849	1	< 0.1%
19.0419	1	< 0.1%
19.044747	1	< 0.1%
19.045277	1	< 0.1%
19.048124	1	< 0.1%
19.060875	1	< 0.1%
19.062888	1	< 0.1%
19.072289	1	< 0.1%
19.07844	1	< 0.1%
19.079607	1	< 0.1%

Value	Count	Frequency (%)
67.397018	1	< 0.1%
67.188111	1	< 0.1%
66.682905	1	< 0.1%
66.679297	1	< 0.1%
66.67154	1	< 0.1%
66.664673	1	< 0.1%
66.624674	1	< 0.1%
66.609525	1	< 0.1%
66.599806	1	< 0.1%
66.595782	1	< 0.1%

merch_long
Real number (ℝ)

HIGH CORRELATION

Distinct	298924
Distinct (%)	99.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-90.25348029

Minimum	-166.670685
Maximum	-66.950902
Zeros	0
Zeros (%)	0.0%
Negative	300000
Negative (%)	100.0%
Memory size	2.3 MiB

Quantile statistics

Minimum	-166.670685
5-th percentile	-119.2618549
Q1	-96.908114
median	-87.4729205
Q3	-80.27720875
95-th percentile	-73.3890317
Maximum	-66.950902
Range	99.719783
Interquartile range (IQR)	16.63090525

Descriptive statistics

Standard deviation	13.75125306
Coefficient of variation (CV)	-0.1523625794
Kurtosis	1.830671472
Mean	-90.25348029
Median Absolute Deviation (MAD)	8.223297
Skewness	-1.141771337
Sum	-27076044.09
Variance	189.0969607
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-83.06618	3	< 0.1%
-82.159848	3	< 0.1%
-95.672843	2	< 0.1%
-123.159512	2	< 0.1%
-74.700957	2	< 0.1%
-86.618196	2	< 0.1%
-75.174779	2	< 0.1%
-94.441692	2	< 0.1%
-84.631577	2	< 0.1%
-80.745822	2	< 0.1%
Other values (298914)	299978	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-166.670685	1	< 0.1%
-166.655425	1	< 0.1%
-166.654993	1	< 0.1%
-166.649771	1	< 0.1%
-166.648577	1	< 0.1%
-166.639673	1	< 0.1%
-166.633523	1	< 0.1%
-166.632072	1	< 0.1%
-166.629875	1	< 0.1%
-166.627418	1	< 0.1%

Value	Count	Frequency (%)
-66.950902	1	< 0.1%
-66.955996	1	< 0.1%
-66.960745	1	< 0.1%
-66.963918	1	< 0.1%
-66.96411	1	< 0.1%
-66.971614	1	< 0.1%
-66.977475	1	< 0.1%
-66.985361	1	< 0.1%
-66.986039	1	< 0.1%
-66.989254	1	< 0.1%

age
Real number (ℝ_≥0)

Distinct	82
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	48.69269667

Minimum	17
Maximum	98
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.3 MiB

Quantile statistics

Minimum	17
5-th percentile	25
Q1	35
median	47
Q3	60
95-th percentile	83
Maximum	98
Range	81
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	17.39218856
Coefficient of variation (CV)	0.3571826938
Kurtosis	-0.1757988633
Mean	48.69269667
Median Absolute Deviation (MAD)	12
Skewness	0.6096193579
Sum	14607809
Variance	302.488223
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
50	10472	3.5%
38	9177	3.1%
37	8766	2.9%
35	8636	2.9%
48	7934	2.6%
46	7503	2.5%
49	7251	2.4%
36	7234	2.4%
32	7155	2.4%
44	7152	2.4%
Other values (72)	218720	72.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
17	500	0.2%
18	1844	0.6%
19	965	0.3%
20	2	< 0.1%
21	1344	0.4%
22	2262	0.8%
23	4483	1.5%
24	2964	1.0%
25	6924	2.3%
26	1430	0.5%

Value	Count	Frequency (%)
98	136	< 0.1%
97	2	< 0.1%
96	1440	0.5%
95	1071	0.4%
94	920	0.3%
93	1375	0.5%
92	829	0.3%
91	1080	0.4%
90	483	0.2%
89	702	0.2%

hour
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	24
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.81252667

Minimum	0
Maximum	23
Zeros	9746
Zeros (%)	3.2%
Negative	0
Negative (%)	0.0%
Memory size	2.3 MiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	7
median	14
Q3	19
95-th percentile	23
Maximum	23
Range	23
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	6.818080035
Coefficient of variation (CV)	0.5321417245
Kurtosis	-1.079681598
Mean	12.81252667
Median Absolute Deviation (MAD)	5
Skewness	-0.2843813962
Sum	3843758
Variance	46.48621537
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
23	15637	5.2%
22	15318	5.1%
18	15280	5.1%
21	15272	5.1%
15	15258	5.1%
19	15240	5.1%
16	15233	5.1%
17	15140	5.0%
20	15084	5.0%
13	15046	5.0%
Other values (14)	147492	49.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	9746	3.2%
1	9966	3.3%
2	9859	3.3%
3	9935	3.3%
4	9736	3.2%
5	9635	3.2%
6	9763	3.3%
7	9777	3.3%
8	9927	3.3%
9	9802	3.3%

Value	Count	Frequency (%)
23	15637	5.2%
22	15318	5.1%
21	15272	5.1%
20	15084	5.0%
19	15240	5.1%
18	15280	5.1%
17	15140	5.0%
16	15233	5.1%
15	15258	5.1%
14	15007	5.0%

day
Real number (ℝ_≥0)

ZEROS

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.986706667

Minimum	0
Maximum	6
Zeros	59974
Zeros (%)	20.0%
Negative	0
Negative (%)	0.0%
Memory size	2.3 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	3
Q3	5
95-th percentile	6
Maximum	6
Range	6
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.202142771
Coefficient of variation (CV)	0.7373147139
Kurtosis	-1.461086656
Mean	2.986706667
Median Absolute Deviation (MAD)	2
Skewness	-0.008326242623
Sum	896012
Variance	4.849432785
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	59974	20.0%
6	56329	18.8%
5	43540	14.5%
1	42411	14.1%
4	34518	11.5%
3	33399	11.1%
2	29829	9.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	59974	20.0%
1	42411	14.1%
2	29829	9.9%
3	33399	11.1%
4	34518	11.5%
5	43540	14.5%
6	56329	18.8%

Value	Count	Frequency (%)
6	56329	18.8%
5	43540	14.5%
4	34518	11.5%
3	33399	11.1%
2	29829	9.9%
1	42411	14.1%
0	59974	20.0%

month
Real number (ℝ_≥0)

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.136313333

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.3 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	7
Q3	10
95-th percentile	12
Maximum	12
Range	11
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.541097825
Coefficient of variation (CV)	0.4962082885
Kurtosis	-1.250295477
Mean	7.136313333
Median Absolute Deviation (MAD)	3
Skewness	-0.1178102538
Sum	2140894
Variance	12.53937381
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
12	48634	16.2%
6	26631	8.9%
5	25600	8.5%
3	25036	8.3%
11	24612	8.2%
9	24493	8.2%
10	23656	7.9%
4	23626	7.9%
8	22580	7.5%
7	19918	6.6%
Other values (2)	35214	11.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	18335	6.1%
2	16879	5.6%
3	25036	8.3%
4	23626	7.9%
5	25600	8.5%
6	26631	8.9%
7	19918	6.6%
8	22580	7.5%
9	24493	8.2%
10	23656	7.9%

Value	Count	Frequency (%)
12	48634	16.2%
11	24612	8.2%
10	23656	7.9%
9	24493	8.2%
8	22580	7.5%
7	19918	6.6%
6	26631	8.9%
5	25600	8.5%
4	23626	7.9%
3	25036	8.3%

is_fraud
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	298444
1	1556

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	298444	99.5%
1	1556	0.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	298444	99.5%
1	1556	0.5%

Most occurring characters

Value	Count	Frequency (%)
0	298444	99.5%
1	1556	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	298444	99.5%
1	1556	0.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	300000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	298444	99.5%
1	1556	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	298444	99.5%
1	1556	0.5%

category_food_dining
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	278845
1	21155

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	278845	92.9%
1	21155	7.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	278845	92.9%
1	21155	7.1%

Most occurring characters

Value	Count	Frequency (%)
0	278845	92.9%
1	21155	7.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	278845	92.9%
1	21155	7.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	300000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	278845	92.9%
1	21155	7.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	278845	92.9%
1	21155	7.1%

category_gas_transport
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	269561
1	30439

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	269561	89.9%
1	30439	10.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	269561	89.9%
1	30439	10.1%

Most occurring characters

Value	Count	Frequency (%)
0	269561	89.9%
1	30439	10.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	269561	89.9%
1	30439	10.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	300000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	269561	89.9%
1	30439	10.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	269561	89.9%
1	30439	10.1%

category_grocery_net
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	289508
1	10492

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	289508	96.5%
1	10492	3.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	289508	96.5%
1	10492	3.5%

Most occurring characters

Value	Count	Frequency (%)
0	289508	96.5%
1	10492	3.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	289508	96.5%
1	10492	3.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	300000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	289508	96.5%
1	10492	3.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	289508	96.5%
1	10492	3.5%

category_grocery_pos
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	271478
1	28522

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	271478	90.5%
1	28522	9.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	271478	90.5%
1	28522	9.5%

Most occurring characters

Value	Count	Frequency (%)
0	271478	90.5%
1	28522	9.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	271478	90.5%
1	28522	9.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	300000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	271478	90.5%
1	28522	9.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	271478	90.5%
1	28522	9.5%

category_health_fitness
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	280277
1	19723

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	280277	93.4%
1	19723	6.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	280277	93.4%
1	19723	6.6%

Most occurring characters

Value	Count	Frequency (%)
0	280277	93.4%
1	19723	6.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	280277	93.4%
1	19723	6.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	300000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	280277	93.4%
1	19723	6.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	280277	93.4%
1	19723	6.6%

category_home
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	271535
1	28465

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	271535	90.5%
1	28465	9.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	271535	90.5%
1	28465	9.5%

Most occurring characters

Value	Count	Frequency (%)
0	271535	90.5%
1	28465	9.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	271535	90.5%
1	28465	9.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	300000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	271535	90.5%
1	28465	9.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	271535	90.5%
1	28465	9.5%

category_kids_pets
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	273671
1	26329

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	273671	91.2%
1	26329	8.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	273671	91.2%
1	26329	8.8%

Most occurring characters

Value	Count	Frequency (%)
0	273671	91.2%
1	26329	8.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	273671	91.2%
1	26329	8.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	300000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	273671	91.2%
1	26329	8.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	273671	91.2%
1	26329	8.8%

category_misc_net
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	285256
1	14744

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	285256	95.1%
1	14744	4.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	285256	95.1%
1	14744	4.9%

Most occurring characters

Value	Count	Frequency (%)
0	285256	95.1%
1	14744	4.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	285256	95.1%
1	14744	4.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	300000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	285256	95.1%
1	14744	4.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	285256	95.1%
1	14744	4.9%

category_misc_pos
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	281500
1	18500

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	281500	93.8%
1	18500	6.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	281500	93.8%
1	18500	6.2%

Most occurring characters

Value	Count	Frequency (%)
0	281500	93.8%
1	18500	6.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	281500	93.8%
1	18500	6.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	300000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	281500	93.8%
1	18500	6.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	281500	93.8%
1	18500	6.2%

category_personal_care
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	278944
1	21056

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	278944	93.0%
1	21056	7.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	278944	93.0%
1	21056	7.0%

Most occurring characters

Value	Count	Frequency (%)
0	278944	93.0%
1	21056	7.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	278944	93.0%
1	21056	7.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	300000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	278944	93.0%
1	21056	7.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	278944	93.0%
1	21056	7.0%

category_shopping_net
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	277642
1	22358

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	277642	92.5%
1	22358	7.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	277642	92.5%
1	22358	7.5%

Most occurring characters

Value	Count	Frequency (%)
0	277642	92.5%
1	22358	7.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	277642	92.5%
1	22358	7.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	300000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	277642	92.5%
1	22358	7.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	277642	92.5%
1	22358	7.5%

category_shopping_pos
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	272957
1	27043

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	272957	91.0%
1	27043	9.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	272957	91.0%
1	27043	9.0%

Most occurring characters

Value	Count	Frequency (%)
0	272957	91.0%
1	27043	9.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	272957	91.0%
1	27043	9.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	300000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	272957	91.0%
1	27043	9.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	272957	91.0%
1	27043	9.0%

category_travel
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	290536
1	9464

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	290536	96.8%
1	9464	3.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	290536	96.8%
1	9464	3.2%

Most occurring characters

Value	Count	Frequency (%)
0	290536	96.8%
1	9464	3.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	290536	96.8%
1	9464	3.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	300000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	290536	96.8%
1	9464	3.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	290536	96.8%
1	9464	3.2%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	amt	zip	lat	long	city_pop	merch_lat	merch_long	age	hour	day	month	category_gas_transport	category_grocery_pos	category_home	category_kids_pets	category_misc_net	category_misc_pos	category_personal_care	category_shopping_pos
0	167.42	93529	37.7773	-119.0825	633	38.492626	-118.677235	95	8	2	12	0	1	0	0	0	0	0	0
1	46.91	39769	33.3570	-89.0473	1923	33.193352	-90.017058	62	11	5	4	1	0	0	0	0	0	0	0
2	8.46	10504	41.1360	-73.7009	7987	41.493080	-74.290518	58	10	4	11	0	0	0	0	0	0	0	1
3	112.71	63665	37.3272	-91.0243	241	36.342555	-91.407343	48	18	4	10	0	0	1	0	0	0	0	0
4	56.41	64686	39.7417	-93.6289	271	39.435902	-93.064931	50	22	6	1	0	0	1	0	0	0	0	0
5	43.07	77412	29.6047	-96.5249	106	29.645347	-96.489121	39	21	6	10	0	0	0	1	0	0	0	0
6	16.31	62673	40.0994	-89.9601	530	40.703103	-90.359857	55	14	4	1	0	0	0	0	0	0	1	0
7	229.84	62075	39.3036	-89.2853	3458	39.297215	-88.859334	37	13	3	3	0	0	0	0	0	1	0	0
8	124.20	57756	43.3526	-102.5411	1126	42.944973	-101.577966	42	11	1	9	0	0	0	0	0	0	0	1
9	169.73	25106	38.8265	-82.1364	642	39.612086	-82.365229	76	10	6	6	0	0	0	0	1	0	0	0

Last rows

	amt	zip	lat	long	city_pop	merch_lat	merch_long	age	hour	day	month	category_gas_transport	category_grocery_net	category_grocery_pos	category_home	category_misc_net	category_misc_pos
299990	3.30	48034	42.4969	-83.2911	75830	43.099145	-83.934940	48	12	6	6	0	0	0	0	1	0
299991	69.76	97813	45.8289	-118.4971	1302	46.392243	-118.525674	46	13	1	3	0	0	0	0	0	0
299992	56.67	8014	39.8016	-75.3478	504	40.177050	-75.249829	42	6	4	11	0	1	0	0	0	0
299993	11.66	38922	33.9215	-89.6782	3451	34.154141	-89.238409	38	23	0	1	0	0	0	1	0	0
299994	45.87	87543	36.1486	-105.6648	247	35.918408	-105.011244	61	5	0	12	1	0	0	0	0	0
299995	35.94	8350	39.4850	-74.8776	825	38.762023	-74.957725	31	11	6	9	0	0	0	0	0	1
299996	88.58	67216	37.6223	-97.3136	409656	38.444081	-97.488754	92	4	6	6	0	0	1	0	0	0
299997	16.63	76834	31.8287	-99.4270	5908	31.973577	-98.934545	60	1	6	3	0	0	0	0	0	1
299998	40.91	74633	36.6966	-96.7869	471	36.753618	-95.914743	81	4	5	11	0	0	0	0	1	0
299999	78.06	75092	33.6372	-96.6184	46563	33.756980	-96.078755	52	4	6	3	1	0	0	0	0	0

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII